Combinatorial Chemistry & High Throughput Screening
Title:Editorial: Advanced Big-Data Analysis Methods and Tools for High-Throughput Omics Technologies
Volume: 20 Issue: 2
Author(s): Tao Huang*
Affiliation:
- Director of Bioinformatics Core Facility Institute of Health Sciences Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031,China
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Cite this article as:
Huang Tao*, Editorial: Advanced Big-Data Analysis Methods and Tools for High-Throughput Omics Technologies, Combinatorial Chemistry & High Throughput Screening 2017; 20 (2) . https://dx.doi.org/10.2174/138620732002170601151524
DOI https://dx.doi.org/10.2174/138620732002170601151524 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
Call for Papers in Thematic Issues
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Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more
Exploring Spectral Graph Theory in Combinatorial Chemistry
Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute-force experimentation, which can be time-consuming and resource-intensive. Spectral graph theory, a branch of mathematics dealing with the properties of graphs in relation to the eigenvalues and eigenvectors of matrices associated ...read more
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